Abstract Algorithmic Objects

Classes
class	Kaskade::AbstractFunctionSpaceElement
	Abstract Vector for function space algorithms. More...
class	Kaskade::AbstractLinearization
	Abstract linearization. More...
class	Kaskade::AbstractPreconditioner
class	Kaskade::AbstractFlushConnection
	Abstract connection. More...
class	Kaskade::AbstractConnectedLinearization
class	Kaskade::AbstractFunctional
	Representation of a nonlinear functional. More...
class	Kaskade::AbstractParameters
	Representation of parameters. More...
class	Kaskade::Parameters< ParameterType >
	...for parameter dependent functionals, implements AbstractParameters More...
class	Kaskade::AbstractParameterFunctional
	Creates a functional from a homotopy of functionals by inserting a parameter. More...
class	Kaskade::AbstractNewtonDirection
	Class that models the functionality of a (possibly inexact) linear solver. More...
class	Kaskade::AbstractChart
class	Kaskade::AbstractNorm
class	Kaskade::AbstractScalarProduct
class	Kaskade::AbstractErrorEstimate
	Representation of an error estimate, i.e. the output of an error estimator. More...
class	Kaskade::AbstractErrorEstimator
	Representation of an error estimator. More...
class	Kaskade::AbstractAdaptiveGrid
	Representation of an adaptive grid and a simple set of operations thereon. More...
class	Kaskade::AbstractHierarchicalErrorEstimator
class	Kaskade::ContinuousScalarFunction
class	Kaskade::DifferentiableScalarFunction

Functions
template<class ParameterType >
Parameters< ParameterType >	Kaskade::makePars (ParameterType const &p)

Detailed Description

Here the basic elements are represented as abstract base classes, on which algorithms with dynamic polymorphism can be built.

Function Documentation

makePars()

template<class ParameterType >

Parameters< ParameterType > Kaskade::makePars

(

ParameterType const &

p

)

Definition at line 254 of file abstract_interface.hh.

Referenced by InteriorPointTangentialPredictor< IPF, DomainVector >::computePredictor(), InteriorPointTangentialPredictor< IPF, DomainVector >::finalizeHomotopy(), InteriorPointTangentialPredictor< IPF, DomainVector >::updateIterate(), and InteriorPointTangentialPredictor< IPF, DomainVector >::updateModelOfHomotopy().